Image fusion using fuzzy logic and applications

Image fusion deals with integrating data obtained from different sources of information for intelligent systems. Image fusion provides output as a single image from a set of input images. The fusion should provide a human/machine perceivable result with more useful complete information. A great deal of interest has recently been shown in literature in image fusion because of its application in automotive, medical and other areas. Some techniques are currently available for image fusion. Some new approaches have been suggested in this work in particular, fuzzy and neuro-fuzzy. Algorithms are also proposed for the above said techniques for image fusion process. The work is also supplemented by algorithms, which help us analyze the output qualitatively on attributes like entropy, statistical moments, uniformity etc.